Roger Mead
Affiliations: | University of Reading, Earley, England, United Kingdom |
Website:
https://en.wikipedia.org/wiki/Roger_MeadGoogle:
"Roger Mead"Bio:
Roger Mead (1938 – 10 August 2015) was an English statistician and Emeritus Professor of Applied Statistics at the University of Reading. He is known for his paper with John Nelder on the widely-used Nelder–Mead method and for his work on statistical methods for agriculture and the design of experiments. He was made an Honorary Life Member of the International Biometric Society in 2014.
Cross-listing: MathTree
Parents
Sign in to add mentor| John Ashworth Nelder | research assistant | 1961-1966 | National Vegetable Research Station (MathTree) |
Children
Sign in to add trainee| Robert Smith | grad student | University of Reading | |
| Keith BG Dear | grad student | 1988 | University of Reading (MathTree) |
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Publications
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| Ndegwa J, Mead R, Norrish P, et al. (2014) Investigating eggs hatchability in indigenous chicken system with smallholder farms in Kenya in a participatory research using analysis of variation Journal of Applied Biosciences. 80: 7000-7013 |
| Tsai PW, Gilmour SG, Mead R. (2007) Three-level main-effects designs exploiting prior information about model uncertainty Journal of Statistical Planning and Inference. 137: 619-627 |
| Eskridge KM, Gilmour SG, Mead R, et al. (2004) Large supersaturated designs Journal of Statistical Computation and Simulation. 74: 525-542 |
| Gilmour SG, Mead R. (2003) A Bayesian design criterion for locating the optimum point on a response surface Statistics & Probability Letters. 64: 235-242 |
| Butler NA, Mead R, Eskridge KM, et al. (2001) A general method of constructing E(s2)-optimal supersaturated designs Journal of the Royal Statistical Society Series B-Statistical Methodology. 63: 621-632 |
| Tsai PW, Gilmour SG, Mead R. (2000) Projective three-level main effects designs robust to model uncertainty Biometrika. 87: 467-475 |
| Gilmour SG, Mead R. (1996) Fixing a factor in the sequential design of two-level fractional factorial experiments Journal of Applied Statistics. 23: 21-29 |
| Mead R, Curnow RN, Hasted AM. (1994) Statistical Methods in Agriculture and Experimental Biology The Statistician. 43: 464-465 |
| Kempson RE, Mead R. (1990) The Design of Experiments. The Statistician. 39: 91 |
| Taylor LR, Mead R. (1989) The Design of Experiments Journal of Animal Ecology. 58: 729 |